Seyoon Ko

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 8

Top Topics

Multilayer Perceptron

Hard Thresholding

Convex Functions

Top Venues

Briefings Bioinform.

Publications

Benjamin B. Chu, Seyoon Ko, Jin J. Zhou, Aubrey Jensen, Hua Zhou, Janet S. Sinsheimer, Kenneth Lange
Multivariate genome-wide association analysis by iterative hard thresholding. Bioinform. 39 (4) (2023)
Seyoon Ko, Ginny X. Li, Hyungwon Choi, Joong-Ho Won
Computationally scalable regression modeling for ultrahigh-dimensional omics data with ParProx. Briefings Bioinform. 22 (6) (2021)
Benjamin B. Chu, Eric M. Sobel, Rory Wasiolek, Seyoon Ko, Janet S. Sinsheimer, Hua Zhou, Kenneth Lange
A fast data-driven method for genotype imputation, phasing and local ancestry inference: MendelImpute.jl. Bioinform. 37 (24) (2021)
Seyoon Ko, Hua Zhou, Jin Zhou, Joong-Ho Won
DistStat.jl: Towards Unified Programming for High-Performance Statistical Computing Environments in Julia. CoRR (2020)
Ernest K. Ryu, Seyoon Ko, Joong-Ho Won
Splitting with Near-Circulant Linear Systems: Applications to Total Variation CT and PET. SIAM J. Sci. Comput. 42 (1) (2020)
Seyoon Ko, Joong-Ho Won
Optimal Minimization of the Sum of Three Convex Functions with a Linear Operator. AISTATS (2019)
Evan Racah, Seyoon Ko, Peter J. Sadowski, Wahid Bhimji, Craig Tull, Sang-Yun Oh, Pierre Baldi, Prabhat
Revealing Fundamental Physics from the Daya Bay Neutrino Experiment Using Deep Neural Networks. ICMLA (2016)
Evan Racah, Seyoon Ko, Peter J. Sadowski, Wahid Bhimji, Craig Tull, Sang-Yun Oh, Pierre Baldi, Prabhat
Revealing Fundamental Physics from the Daya Bay Neutrino Experiment using Deep Neural Networks. CoRR (2016)